In the field of oscillating hydrofoil research, the choice of hydrofoils is still mainly based on traditional NACA airfoils. The article explores the hydrodynamic characteristics of other airfoil structures to further improve the applicable range of hydrofoil working environments. By applying the swept structure of fish tail fins through biomimetic methods to oscillating hydrofoils, a motion model of the swept oscillating hydrofoil is established, and the relevant mathematical expressions and parameter definitions are described. Through numerical simulation methods, the effects of the pitch axis position and the tip-to-root ratio on the performance of the swept oscillating hydrofoil are analyzed. The simulation results show that the pitch axis position has a significant impact on the various force characteristics and energy acquisition efficiency of the hydrofoil, while the tip-to-root ratio mainly reflects the degree of sweep of the hydrofoil, thereby affecting the lift-to-drag ratio and the moment coefficient of the swept hydrofoil. Selecting the appropriate pitch axis position and tip-to-root ratio will enhance the lift of the hydrofoil while reducing the drag experienced.

PURPOSES : Concrete, which is a construction material, is the most widely used compression material; however, unlike steel, it exhibits nonlinear material characteristics. Therefore, to examine the behavior of structures under the nonlinear conditions of concrete materials, one must select an appropriate numerical-analysis technique and a reasonable material model. When performing the nonlinear numerical analysis of a structure using general-purpose structural analysis software, the stress–strain curve or the Mohr–Coulomb failure criterion is typically employed to consider the nonlinear material characteristics. In this study, an efficient nonlinear numerical analysis is conducted by defining the stress–strain curves and Mohr–Coulomb parameters applicable to Strand7 to examine and design the stability of reinforced concrete structures. METHODS : This study was conducted by improving existing data. Based on the tensile region of the concrete stress–strain curve presented in a simple shape and the results of the splitting test, the proposed Mohr–Coulomb parameter was improved based on regulations stipulated in the design standards of concrete structures. The characteristics and usability of the improved material models were examined using concrete splitting tensile and bending models. RESULTS : A yield area distribution similar to that of the reference data is obtained when the Mohr–Coulomb material model is used in the numerical analysis of the concrete splitting tension, thus confirming the validity of the model. In the Mohr–Coulomb material model, nonlinear resistance continues even after the maximum reaction force occurs. However, when the stress–strain curve material model is applied, at the moment the maximum reaction force occurs, the material yields and begins to be damaged. In addition, by applying the Mohr–Coulomb material model to the bending numerical-analysis model, the magnitude of stress in the tensile region from the initial stage exceeds the yield stress defined in the stress–strain curve. CONCLUSIONS : Based on a series of examples, the usability of the proposed concrete stress–strain curve and Mohr–Coulomb parameters is confirmed. However, to obtain numerical-analysis results that are consistent with the nonlinear behavior of actual structures, nonlinear testing of reinforced concrete structures shall be conducted and material models shall be improved.

European and Turkish rice varieties were analysed to identify the traits associated with low-temperature germination. The aim of the study is to develop new rice varieties that can use these traits to reduce greenhouse gas emissions in rice fields. The average low temperature germination ratio (GR) in the European and Turkish rice varieties was 89.0±14.1%. The speed of the germination rate (SG) in Korean early maturing varieties, ‘Jopyeong’ and ‘Baekilmi’ was 1.3 and 3.5, respectively, whereas the European and Turkish varieties had a SG of 6.6. In terms of germination energy (GE) by the date, the European and Turkish varieties started germination within 4 days, while ‘Jopyeong’ and ‘Baekilmi’ began to germinate after 8 and 10 days, respectively. The mean germination time (MGT) for the European and Turkish varieties was 9.9±1.2 days. Between 4 to 10 days after inoculation, the germination velocity coefficient (GVC) for the European and Turkish varieties increased moderately from 2.6 to 5.3. After 10 days, the GVC rose rapidly from 7.0 to 12.0. ‘Jopyeong’ and ‘Baekilmi’ had slower germination rates compared to the European and Turkish varieties, in which the GVC increased moderately to 3.2 and 2.3, respectively, between 7 and 9 days after inoculation. The average mesocotyl elongation ability was 4.0±0.4 cm, with a range from 1.3 cm to 7.3 cm.

본 연구는 환경측정용 센서 위치에 따른 온실 환경의 공간· 수직적 특성을 조사하고 온실 종류에 따른 온도, 광도 및 CO2 농도 간의 상관관계를 구명하고자 수행하였다. 벤로형 온실의 공간적인 5지점을 선정한 후 각 지점에서 대표적 작물의 수 직적 높이 4지점과 지면부, 지붕 공간에 온도, 상대습도, CO2, 엽온 및 광센서를 설치하였다. 벤로형 온실과 반밀폐형 온실 에서 온도, 광도 및 CO2 농도 변화의 관계성을 Curve Expert Professional 프로그램을 이용하여 비교하였다. 벤로형 온실 의 공간적 위치에 따른 편차는 CO2 농도가 다른 요인보다 큰 것으로 나타났다. CO2 농도는 평균 465－761μmol·mol-1 범 위였고, 편차가 가장 큰 시간대는 오후 5시였으며, 최고 농도 는 액화 탄산가스 공급장치의 메인 배관(50∅)과 가까운 위치 인 중앙 후부(Middle End, 4ME)에서 646μmol·mol-1, 최저 농도는 좌측 중앙(Left Middle, 5LM)에서 436μmol·mol-1이 었다. 수직적 위치에 따른 편차는 온도와 상대습도가 다른 요 인보다 큰 것으로 나타났다. 평균 기온의 편차가 가장 큰 시간 대는 오후 2시대이며, 최고 기온은 작물 위 공기층(Upper Air, UA)에서 26.51℃, 최저 기온은 작물의 하단부(Lower Canopy, LC)에서 25.62℃였다. 평균 상대습도의 편차가 가장 큰 시간 대는 오후 1시대로 나타났으며, 최고 습도는 LC에서 76.90%, 최저 습도는 UA에서 71.74%이다. 각 시간대에 평균 CO2 농 도가 가장 높은 수직적 위치는 지붕 공간 공기층(Roof Air, RF)과 시설 내 지면(Ground, GD)이었다. 온실 내 온도, 광도 및 CO2 농도의 관계성은 반밀폐형 온실의 경우 결정계수(r2) 가 0.07, 벤로형 온실은 0.66이었다. 결과를 종합하여 볼 때, 온실 내 CO2 농도는 공간적 분포, 온도와 습도는 작물의 수직 적 분포 차이를 측정하여 분석할 필요가 있고 환기율이 낮은 반밀폐형 온실의 경우 목표 CO2 시비 농도가 일반 온실과 다 르게 설정해야 할 것으로 판단된다.

Seismic demand on nonstructural components (NSCs) is highly dependent on the coupled behavior of a combined supporting structure- NSC system. Because of the inherent complexities of the problem, many of the affecting factors are inevitably neglected or simplified based on engineering judgments in current seismic design codes. However, a systematic analysis of the key affecting factors should establish reasonable seismic design provisions for NSCs. In this study, an idealized 2-DOF model simulating the coupled structure-NSC system was constructed to analyze the parameters that affect the response of NSCs comprehensively. The analyses were conducted to evaluate the effects of structure-NSC mass ratio, structure, and NSC nonlinearities on the peak component acceleration. Also, the appropriateness of component ductility factor (R p) given by current codes was discussed based on the required ductility capacity of NSCs. It was observed that the responses of NSCs on the coupled system were significantly affected by the mass ratio, resulting in lower accelerations than the floor spectrum-based response, which neglected the interaction effects. Also, the component amplification factor (a p) in current provisions tended to underestimate the dynamic amplification of NSCs with a mass ratio of less than 15%. The nonlinearity of NSCs decreased the component responses. In some cases, the code-specified R p caused nonlinear deformation far beyond the ductility capacity of NSCs, and a practically unacceptable level of ductility was required for short-period NSCs to achieve the assigned amount of response reduction.

In the field of length, a gauge block is one of the representative gauges used as a standard for length. The main management items of the gauge block are central length, flatness, parallelism, hardness, and surface by visual inspection. The surface of the gauge block may wear over time due to repeated wringing. This phenomenon may deteriorate the precision accuracy and affect the reliability of the measurement results. In this study, the parameters of the surface roughness of the gauge blocks used repeatedly for about 10,000 hours were analyzed. The paired t-test of population mean difference was compared by using the gauge block that has changed over the years as a preliminary experiment and the gauge block with little frequency of use for less than 1 year as the reference value.

The multi-layered heat source model is a model that can cover most of existing studies and can be defined with a simple formula. Based on the methodology performed in previous studies, the welding heat source was found through experiments and FEM under the welding power conditions of three cases and the parameters of the welding heat source were analyzed according to the welding power. In this study, parameters of fiber laser welding heat source according to welding power were searched through optimization algorithm and finite element analysis, and the correlation was analyzed. It was confirmed that the concentration of the welding heat source in the 1st layer was high regardless of the welding power, and it was confirmed that the concentration of the welding heat source in the 5th layer (last layer) increased as the welding power increased. This reflects the shape of the weld bead that appears during actual fiber laser welding, and it was confirmed that this study represents the actual phenomenon.

This study presents the estimation of crack depth by analyzing temperatures extracted from thermal images and environmental parameters such as air temperature, air humidity, illumination. The statistics of all acquired features and the correlation coefficient among thermal images and environmental parameters are presented. The concrete crack depths were predicted by four different machine learning models: Multi-Layer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), and AdaBoost (AB). The machine learning algorithms are validated by the coefficient of determination, accuracy, and Mean Absolute Percentage Error (MAPE). The AB model had a great performance among the four models due to the non-linearity of features and weak learner aggregation with weights on misclassified data. The maximum depth 11 of the base estimator in the AB model is efficient with high performance with 97.6% of accuracy and 0.07% of MAPE. Feature importances, permutation importance, and partial dependence are analyzed in the AB model. The results show that the marginal effect of air humidity, crack depth, and crack temperature in order is higher than that of the others.

The correlation among gaseous air pollutants (odorous compounds, greenhouse gases) and meteorological parameters was analyzed in-depth using measurement data at a barn and ambient in a naturally ventilated dairy farm. Both concentration and emission data (loading rate and emission rate), which more accurately express the actual pollutant emissions, were used in the correlation analysis. Gaseous air pollutants (ammonia, hydrogen sulfide, carbon dioxide, nitrous oxide, methane) and meteorological factors (relative humidity, temperature, wind speed, solar strength) were measured for one week in July 2013. The upper and lower outliers of measured data by inducing 1.5 times the interquartile range (IQR) were eliminated. After eliminating the outliers and grouping according to data magnitude, the correlation analysis among gaseous compounds and meteorological factors was conducted using the average values of each group. In the correlation analysis, data for the emission rate (barn) and the loading rate (ambient) showed a better correlation than concentration data. Gaseous air pollutants except for hydrogen sulfide in the barn showed a good correlation. Hydrogen sulfide might not be produced from manure or animal origin. Rather, the compound may be produced by flushing water, which was flushed at periodical times (every six hours). Ammonia emissions increased with increasing temperature, and this increase can be affected from greater exertion of feces by frequent water drinking in a high-temperature condition. In the ambient, the correlation for all gaseous air pollutants was better than that in the barn, because those air pollutants from manure, animals, and flushing water origins were sufficiently mixed in the atmosphere. Wind speed also showed a good correlation with all gaseous air pollutants.

The estimation of heat source model is very important for heat transfer analysis with finite element method. Part I of this study used adaptive simulated annealing which is one of the global optimization algorithm for anticipating the parameters of the Goldak model. Although the analysis with 3D model which depicted the real situation produced the correct answer, that took too much time with moving heat source model based on Fortran and Abaqus. This research suggests the procedure which can reduce time with maintaining quality of analysis. The lead time with 2D model is reduced by 90% comparing that of 3D model, the temperature distribution is similar to each other. That is based on the saturation of heat transfer among the direction of heat source movement. Adaptive simulated annealing with 2D model can be used to estimate more proper heat source model and which could enhance to reduce the resources and time for experiments.

The concept of carsharing involves sharing a small number of reserved cars to be used individually by a larger number of people as required. This study examines the operating parameters of one-way carsharing systems in order to determine the appropriate operating conditions that minimizes the lost sales rate. Five operating parameters are tested in this study: the number of stations, the average number of vehicles per station, the rate of one-way trip, the average number of staffs per station, and the relocation policy. The performance of round-trip carsharing systems is also compared to that of one-way carsharing systems. A simulation model is developed and simulations are performed to determine the appropriate combination of operating parameter and levels. The simulation results show that the average number of vehicles per station is the most critical parameter. Other key findings obtained from this research are as follows. First, applying the appropriate relocation policy to one-way carsharing systems can allow more customers to rent vehicles than the traditional round-trip carsharing systems. Second, the appropriate relocation policy should be selected based on the average number of vehicles per station in order to minimize the lost sales rate. Third, the number of stations does not affect the lost sales rate. This study findings will provide tools to understand impact of the carsharing system parameters on the efficiency of the carsharing operations.

The oriental fruit fly is a major polyphagous insect pest with a worldwide distribution. We investigated the development time, survivorship, longevity and fecundity of B. dorsalis at six different temperatures. We applied the computer programs – TWOSEX-MSChart and TIMING-MSChart - to analyze our data. We obtained the population parameters – adult preoviposition period (APOP), total preoviposition period (TPOP), oviposition days, eggs per reproductive female, first age of survival rate <50%, proportion of male and female individuals, propoortion of N-type individual, and life table parameters (net reproductive rate, intrinsic rate of increase, finite rate of increase, and mean generation time) - and population projection using two computer programs.

Recently, quantitative analyses of food web structure based on carbon and nitrogen stable isotopes are widely applied to environmental assessments as well as ecological researches of various ecosystems, particularly rivers and streams. In the present study, we analyzed carbon and nitrogen stable isotope ratios of POM (both planktonic and attached forms), zooplankton, benthic macroinvertebrates and fish collected from 6 sites located at Nakdong River. Samples were collected from upstream areas of 5 weirs (Sangju, Gangjeong- Goryeong, Dalseong, Hapcheon-Changnyeong, and Changnyeong-Haman Weirs) and one downstream area of Hapcheon-Changnyeong Weir in dry season (June) and after rainy season (September). We suggested ranges of their carbon and nitrogen stable isotope ratios and calculated their trophic levels in the food web to compare their temporal and spatial variations. Trophic levels of organisms were relatively higher in Sangju Weir located at upper part of Nakdong River, and decreased thereafter. However, the trophic levels were recovered at the Changnyeong-Haman Weir, the lowest weir in the river. The trophic level calculated by nitrogen stable isotope ratios showed more reliable ranges when they were calculated based on zooplankton than POM used as baseline. The suggested quantitative ecological information of the majority of biological communities in Nakdong River would be helpful to understand the response of river food web to environmental disturbances and can be applied to various further researches regarding the quantitative approaches for the understanding food web structure and function of river ecosystems as well as restoration.

본 연구는 한우 번식우에 있어서 영양대사물질 분석을 통하여 영양수준을 구명하여 번식우의 수태율 개선을 위한 기초 자료로 활용하기 위해서 실시하였다. 번식우의 정확한 영양수준 분석을 위해서 사료급여량을 80%, 100%, 120%로 구분하여 사양관리를 실시한 결과 Cholesterol과 BUN 농도가 120% 급여구에서 유의적으로 높은 결과를 나타내었다(p<0.05). 방목우 중에서 임신우와 비임신우의 영양대사물질 수준 분석 결과, Cholesterol, AST, NEFA 농도가 임신우에 비해 비임신우에서 유의적으로 높은 결과를 보였다(p<0.05). 이와 같이 임신과 관련한 영양수준 분석에 Cholesterol, AST, NEFA 의 3가지 항목을 설정하는 것이 필요할 것으로 사료된다. 방목과 사사 사육에 대한 결과 분석에서 Glucose 농도는 방목우 84.8, 비방목우 56.0 mg/dl 으로서 방목우에서 유의적으로 높은 결과를 보였고(p<0.05), Cholesterol 수준은 방목우에서 142.5 mg/dl로서 사사 사육 128.9 mg/dl 보다 유의적으로 높았으며(p<0.05), ALT(34.4 vs 27.1 IU/l)와 NEFA 농도(317.8 vs 160.2 ЧEq/l) 역시 방목우에서 유의적으로 높은 결과를 보였다(p<0.05). 결론적으로, 암소에 사료 급여시 Cholesterol, ALT, NEFA 수준을 낮출 수 있도록 하는 것이 한우 암소의 수태율을 높일 수 있을 것으로 사료된다.

This study, analyzed the general and minerals composition of kamut and investigated its effect on blood components in mice fed a high fat diet. The content of each general component of kamut was as follows: 11.02±0.75% water, 13.16 ±1.28% crude protein, 1.85±0.19% crude fat, and 1.97±0.13% ash. The leptin level was the highest in the HF group(30.00± 0.00 ng/mL) when compared to the control group. There was a significant decrease of 23.65±5.54 ng/mL in the HFK group when compared to the HF group (p<0.05). The blood LDL-cholesterol concentration was the lowest in the control group at 10.00±2.00 mg/dL. The level was highest in the HF group at 28.00±0.00 mg/dL when compared with the other groups (p<0.05). The aspartate transaminase (AST) level was significantly higher in the HFK group (179.33±173.88 U/L) than in the control (61.00±12.73 U/L) and HF groups (132.00±0.00 U/L). According to the results of this study, the consumption of kamut lowers the blood LDL-cholesterol level more than the consumption of wheat flour. Additionally, kamut contains antioxidant substances such as selenium and zinc, which are thought to contribute to vascular health and thus aid in maintaining good health. Therefore, it is necessary to develop a variety of health foods using kamut; it should be used as a functional food for the maintenance of good health.

본 연구의 목적은 분만간격에 따른 추가 착유일수를 계산하여 불완전 Gamma모형으로 추정된 비유곡 선모수값을 통하여 추가 착유일 만큼의 산유량을 계산하고, 추가 착유에 따른 경제성을 분석하기 위함 이다. 경제성 분석을 위하여 농협중앙회 젖소개량사업소에서 진행하고 있는 유우군 능력검정사업에 참 여하고 있는 홀스타인 젖소로부터 조사한 착유기록 2,072개를 분석하였는데, 분석에 이용된 착유기록은 2010년 1월부터 2012년 12월 사이에 분만한 초산우 및 경산우로부터 자료이다. 비유곡선 모수는 Wood 모형을 적용하여, SAS 9.2 NLIN Procedure를 이용해 추정하였다. Wood 모형으로 추정한 비유곡선 함수는 초산우 및 경산우에 대해 각각 yt = 18.00t0.189e-0.00231t 및 yt = 24.73t0.181e-0.00315t로 추정되었다. 초산 우의 경우 산유량이 8,000kg 이하인 우군의 적정 분만간격은 400일 이하로 유지하는 것이 바람직하며, 8,000kg 이상인 우군은 분만간격을 400일에서 500일 사이로 유지하는 것이 바람직하다. 경산우의 경 우 산유량이 9,000kg 우군은 적정 분만간격을 400일 이하로 유지하고, 9,000kg 이상인 우군의 분만간 격은 400일에서 500일 사이로 유지하는 것이 바람직하겠으며, 11,000kg 이상의 고능력 경산우 우군의 경우 분만간격이 길어질수록 순수이익은 증가하나, 차기 임신 및 분만을 위해서는 분만간격을 450일에 서 500일 사이로 유지하는 것이 바람직하다고 할 수 있겠다.